Identifying Predictors of Myocardial Recovery Among Hospitalized Patients with Non-ischemic Heart Failure

The proposed project will identify factors specific to patients with hospitalization for heart failure (HHF) that predict myocardial recovery. The goal is to use those factors to develop and validate a prediction tool for absolute improvement (>10%) in left ventricular ejection fraction (LVEF), and assess whether recovery affects mortality and re-hospitalization. Our hypothesis is that certain clinical, echocardiographic, laboratory, MRI, nuclear imaging characteristics, biomarkers, or a particular combination of factors (i.e. metabolic profile), predict meaningful recovery in patients with non-ischemic cardiomyopathy. A priori identification of predictors of improvement has the potential to offer prognostic stratification, appropriate therapy utilization, cost-savings and ultimately, personalized medicine for patients with HHF.